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Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021

Author

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  • Roberto Maria Rosati

    (University of Udine)

  • Matteo Petris

    (University of Lille)

  • Luca Di Gaspero

    (University of Udine)

  • Andrea Schaerf

    (University of Udine)

Abstract

We describe the solver that we developed for the Sports Timetabling Competition ITC2021, a three-stage simulated annealing approach, that makes use of a portfolio of six different neighborhoods. Five of these neighborhoods are taken from the literature on round-robin tournament scheduling, whereas the last one, denoted as PartialSwapTeamsPhased, is a novel contribution and it is specifically designed for the phased version of the problem. We perform a comprehensive and statistically principled tuning procedure to find the best combination of parameters for the competition instances. We dedicate specific focus to evaluate the contribution given by the new neighborhood PartialSwapTeamsPhased, which yielded better results on most phased instances. Overall, the final outcome is that the three-stage simulated annealing solver is able to find a feasible solution on 44 out of 45 instances and ranked second in both the first competition milestone and the final round. We also propose an Integer Linear Programming model implemented in CPLEX, which, unfortunately, did not produce significant results on the instances of the competition.

Suggested Citation

  • Roberto Maria Rosati & Matteo Petris & Luca Di Gaspero & Andrea Schaerf, 2022. "Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021," Journal of Scheduling, Springer, vol. 25(3), pages 301-319, June.
    • Handle: RePEc:spr:jsched:v:25:y:2022:i:3:d:10.1007_s10951-022-00740-y
    DOI: 10.1007/s10951-022-00740-y
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    References listed on IDEAS

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    1. David S. Johnson & Cecilia R. Aragon & Lyle A. McGeoch & Catherine Schevon, 1989. "Optimization by Simulated Annealing: An Experimental Evaluation; Part I, Graph Partitioning," Operations Research, INFORMS, vol. 37(6), pages 865-892, December.
    2. Fabrício Costa & Sebastián Urrutia & Celso Ribeiro, 2012. "An ILS heuristic for the traveling tournament problem with predefined venues," Annals of Operations Research, Springer, vol. 194(1), pages 137-150, April.
    3. Van Bulck, David & Goossens, Dries & Schönberger, Jörn & Guajardo, Mario, 2020. "RobinX: A three-field classification and unified data format for round-robin sports timetabling," European Journal of Operational Research, Elsevier, vol. 280(2), pages 568-580.
    4. Rasmussen, Rasmus V. & Trick, Michael A., 2008. "Round robin scheduling - a survey," European Journal of Operational Research, Elsevier, vol. 188(3), pages 617-636, August.
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    Cited by:

    1. Van Bulck, David & Goossens, Dries, 2023. "The international timetabling competition on sports timetabling (ITC2021)," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1249-1267.
    2. Van Bulck, David & Goossens, Dries & Clarner, Jan-Patrick & Dimitsas, Angelos & Fonseca, George H.G. & Lamas-Fernandez, Carlos & Lester, Martin Mariusz & Pedersen, Jaap & Phillips, Antony E. & Rosati,, 2024. "Which algorithm to select in sports timetabling?," European Journal of Operational Research, Elsevier, vol. 318(2), pages 575-591.

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    Keywords

    Sport Scheduling; Simulated Annealing; ITC2021; Timetabling;
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